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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_fitdistrnorm.wasp
Title produced by softwareMaximum-likelihood Fitting - Normal Distribution
Date of computationTue, 11 Nov 2008 13:10:08 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/11/t12264342345ac10pssx8hv1l0.htm/, Retrieved Sun, 19 May 2024 09:23:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23922, Retrieved Sun, 19 May 2024 09:23:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Maximum-likelihood Fitting - Normal Distribution] [various eda topîc...] [2008-11-04 20:49:44] [077ffec662d24c06be4c491541a44245]
F   P   [Maximum-likelihood Fitting - Normal Distribution] [Maximum-likelihoo...] [2008-11-11 16:09:48] [73d6180dc45497329efd1b6934a84aba]
F         [Maximum-likelihood Fitting - Normal Distribution] [Maximum-likelihoo...] [2008-11-11 17:44:35] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
F   P         [Maximum-likelihood Fitting - Normal Distribution] [] [2008-11-11 20:10:08] [81dc0ee785f23261ccd6abf7aef76c2a] [Current]
Feedback Forum
2008-11-20 19:50:33 [Olivier Uyttendaele] [reply] 
Hier heb ik weinig aan te voegen. Eventueel zou ik kunnen nuanceren dat het zo goed als geen normaalverdeling is ipv geen normaalverdeling zoals je schreef in je document.
2008-11-23 10:30:43 [Inge Meelberghs] [reply] 
Je hebt de correcte berekening uitgevoerd, enkel je interpretatie over deze grafiek is niet helemaal juist.

De histogram en de Gauss - curve nemen praktisch hetzelfde verloop aan waardoor we toch kunnen stellen dat er sprake is van een normaalverdeling.
2008-11-23 11:05:55 [Bonifer Spillemaeckers] [reply] 
We kunnen hier bemerken dat het histogram niet gelijkaardig verloopt als de Gauss-curve. We kunnen dus stellen dat het hier niet om een perfecte normaalverdeling gaat. We kunnen wel niet zeggen dat het gaat om een grote afwijking.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12300.00
12092.80
12380.80
12196.90
9455.00
13168.00
13427.90
11980.50
11884.80
11691.70
12233.80
14341.40
13130.70
12421.10
14285.80
12864.60
11160.20
14316.20
14388.70
14013.90
13419.00
12769.60
13315.50
15332.90
14243.00
13824.40
14962.90
13202.90
12199.00
15508.90
14199.80
15169.60
14058.00
13786.20
14147.90
16541.70
13587.50
15582.40
15802.80
14130.50
12923.20
15612.20
16033.70
16036.60
14037.80
15330.60
15038.30
17401.80
14992.50
16043.70
16929.60
15921.30
14417.20
15961.00
17851.90
16483.90
14215.50
17429.70
17839.50
17629.20

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23922&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23922&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23922&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






ParameterEstimated ValueStandard Deviation
mean14294.1416666667231.382509390015
standard deviation1792.28121094242163.612141437640

\begin{tabular}{lllllllll}
\hline
Parameter & Estimated Value & Standard Deviation \tabularnewline
mean & 14294.1416666667 & 231.382509390015 \tabularnewline
standard deviation & 1792.28121094242 & 163.612141437640 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23922&T=1

[TABLE]
[ROW][C]Parameter[/C][C]Estimated Value[/C][C]Standard Deviation[/C][/ROW]
[ROW][C]mean[/C][C]14294.1416666667[/C][C]231.382509390015[/C][/ROW]
[ROW][C]standard deviation[/C][C]1792.28121094242[/C][C]163.612141437640[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23922&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23922&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

ParameterEstimated ValueStandard Deviation
mean14294.1416666667231.382509390015
standard deviation1792.28121094242163.612141437640


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 8 ; par2 = 0 ; par3 = Y ; par4 = Y ; par5 = uitvoer Vlaanderen ; par6 = uitvoer Belgie naar landen buiten EU ; par7 = uitvoer Belgie (totaal) ;
Parameters (R input):
par1 = 8 ; par2 = 0 ; par3 = Y ; par4 = Y ; par5 = uitvoer Vlaanderen ; par6 = uitvoer Belgie naar landen buiten EU ; par7 = uitvoer Belgie (totaal) ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
R code (references can be found in the software module):
library(MASS)
par1 <- as.numeric(par1)
if (par2 == '0') par2 = 'Sturges' else par2 <- as.numeric(par2)
x <- as.ts(x) #otherwise the fitdistr function does not work properly
r <- fitdistr(x,'normal')
r
bitmap(file='test1.png')
myhist<-hist(x,col=par1,breaks=par2,main=main,ylab=ylab,xlab=xlab,freq=F)
curve(1/(r$estimate[2]*sqrt(2*pi))*exp(-1/2*((x-r$estimate[1])/r$estimate[2])^2),min(x),max(x),add=T)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Parameter',1,TRUE)
a<-table.element(a,'Estimated Value',1,TRUE)
a<-table.element(a,'Standard Deviation',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,r$estimate[1])
a<-table.element(a,r$sd[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'standard deviation',header=TRUE)
a<-table.element(a,r$estimate[2])
a<-table.element(a,r$sd[2])
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')